Astronomy & Astrophysics manuscript no. SabhaGC2˙Pub c ESO 2013 (cid:13) January 8, 2013 ⋆ The S-Star Cluster at the Center of the Milky Way On the nature of diffuse NIR emission in the inner tenth of a parsec N. Sabha1, A. Eckart1,2, D. Merritt3, M. Zamaninasab2, G. Witzel1, M. Garc´ıa-Mar´ın1, B. Jalali1, M. Valencia-S.1,2, S. Yazici1, R. Buchholz1, B. Shahzamanian1,2, C. Rauch1, M. Horrobin1, and C. Straubmeier1 1 I.Physikalisches Institut,Universit¨at zu K¨oln, Zu¨lpicher Str.77, 50937 K¨oln, Germany e-mail: [email protected] 3 2 Max-Planck-Institutfu¨r Radioastronomie, Aufdem Hu¨gel 69, 53121 Bonn, Germany 1 3 DepartmentofPhysicsandCenterforComputationalRelativityandGravitation,RochesterInstituteofTechnology, 0 Rochester, NY 14623, USA 2 Received:9 March 2012/ Accepted:4 June 2012 n a ABSTRACT J 4 Sagittarius A*, the super-massive black hole at the center of the Milky Way, is surrounded by a small cluster of high velocity stars, known as the S-stars. We aim to constrain the amount and nature of stellar and dark mass associated ] A with the cluster in the immediate vicinity of Sagittarius A*. We use near-infrared imaging to determine the Ks-band luminosityfunctionoftheS-starclustermembers,andthedistributionofthediffusebackgroundemissionandthestellar G numberdensitycountsaroundthecentralblackhole.Thisallowsustodeterminethestellarlightandmasscontribution . expectedfromthefaintmembersofthecluster.Wethenusepost-NewtonianN-bodytechniquestoinvestigatetheeffect h ofstellarperturbationsonthemotionofS2,asameansofdetectingthenumberandmassesoftheperturbers.Wefind p thatthestellarmassderivedfromtheKs-bandluminosityextrapolationismuchsmallerthantheamountofmassthat - might be present considering the uncertainties in the orbital motion of the star S2. Also the amount of light from the o fainter S-clustermembers is below theamount of residual light at theposition of the S-starcluster after removing the r t brightclustermembers.IfthedistributionofstarsandstellarremnantsisstronglyenoughpeakednearSagittariusA*, s observed changes in the orbital elements of S2 can be used to constrain both their masses and numbers. Based on a [ simulations of the cluster of high velocity stars we find that at a wavelength of 2.2 µm close to the confusion level for 8 m class telescopes blend stars will occur (preferentially near the position of Sagittarius A*) that last for typically 3 2 years before they dissolve dueto propermotions. v Key words.Galaxy:center- infrared: general - infrared: diffusebackground- stars: luminosity function,mass function 5 - stars: kinematics and dynamics- methods: numerical 2 6 2 . 1. Introduction 15.9 years, and was the star used to precisely deter- 3 ∼ 0 mine the enclosed dark mass, and infer the existence of Using 8–10 m class telescopes, equipped with adaptive op- 2 a 4 million solar mass SMBH, in our own Galactic cen- tics (AO) systems, at near-infrared(NIR) wavelengths has ∼ 1 ter (GC; Scho¨del et al. 2002; Ghez et al. 2003). The first allowed us to identify and study the closest stars in the : spectroscopicstudies ofS2,by Ghez et al.(2003)andlater v vicinity of the super-massive black hole (SMBH) at the Eisenhauer et al. (2005), revealed its rotational velocity to Xi center of our Milky Way. These stars, referred to as the be that of an O8-B0 young dwarf, with a mass of 15 M⊙ r S-star cluster, are located within the innermost arcsecond, andanageoflessthan106 yrs.Later,Martins et al.(2008) a orbiting the SMBH, Sagittarius A*(Sgr A*), on highly ec- confined the spectral type of S2 to be a B0–2.5 V main- centric and inclined orbits. Up till now, the trajectories sequencestarwithazero-agemain-sequence(ZAMS)mass of about 20 stars have been precisely determined using of 19.5 M⊙. The fact that S2, along with most of the S- NIR imaging and spectroscopy (Gillessen et al. 2009a,b). stars, is classified as typical solar neighborhood B2–9 V This orbital information is used to determine the mass of stars, indicates that they are young, with ages between 6– the SMBH and can in principle be used to detect rela- 400Myr(Eisenhauer et al.2005).Thecombinationoftheir tivistic effects and/or the mass distribution of the central ageandtheproximitytoSgrA*presentsachallengetostar stellar cluster (Rubilar & Eckart 2001; Zucker et al. 2006; formation theories. It is still unclear how the S-stars were Mouawad et al. 2005; Gillessen et al. 2009a). formed. Being generated locally requires that their forma- One of the brightest members of that cluster is the tion must have occurred through non-standard processes, star S2. It has the shortest observed orbital period of likeformationinatleastonegaseousdisk(Lo¨ckmann et al. 2009) or via an eccentricity instability of stellar disks ⋆ Based on observations collected at the European aroundSMBHs(Madigan et al.2009).Alternatively,ifthey Organisation for Astronomical Research in the Southern formed outside the central star cluster, about 0.3 par- Hemisphere, Chile (ProgId: 073.B-0085) 1 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster Fig.1. Left: 17.5′′×17.5′′ NACO Ks-bandmosaic of thecentral cluster zoomed in totheinner 1–2′′ region around SgrA*. The inner region is indicated by a dashed (white) circle. Right: a) Map of the diffuse background light within a circle of 0.69′′ radius centered on the position of Sgr A*, shown here as a cross at the center. The projected orbit of the star S2 is over-plotted as an ellipse. b) The same map smoothed by convolution with a Gaussian beam of FWHM =6 pixels. The contours levels are at 95%, 90%, 80%, 70%, 60%, 50%, 40%, 30%, 20% and 10% of themaximum flux valuefor each image. sec core radius (e.g. Buchholz et al. 2009; Scho¨del et al. follow a steeper profile. Similar results were obtained later 2007),thereareseveralmodelsthatdescribehowtheymay by Do et al. (2009) and Bartko et al. (2010). have been brought in (e.g. Hansen & Milosavljevi´c 2003; These surprising findings required new models to ex- Kim et al. 2004; Levin et al. 2005; Fujii et al. 2009, 2010; plain the depletion in the number of late-type giants in Merritt et al. 2009; Gould & Quillen 2003; Perets et al. the central few arcseconds around the SMBH. Such at- 2007, 2009). For a detailed description of these processes tempts involved Smooth Particle Hydrodynamics (SPH) see Perets & Gualandris (2010). and Monte Carlo simulations which tried to account for Stellar dynamics predict the formation of a cusp of theunderdensityofgiantsbymeansofcollisionswithother stars at the center of a relaxed stellar cluster around stars and stellar remnants (Dale et al. 2009; Freitag 2008). a SMBH. This is manifested by an increase in the Another explanation could be the disturbance of the cusp three dimensional stellar density of old stars and rem- of stars after experiencing a minor merger event or an in- nants towards the center with power-law slopes of spiraling of an intermediate-mass black hole, which then 1.5 to 1.75 (Bahcall & Wolf 1976; Murphy et al. 1991; wouldleadto deviations fromequilibrium;hence causing a Lightman & Shapiro 1977; Alexander & Hopman 2009). shallower power-law profile of the cusp (Baumgardt et al. The steeppower-lawslopeof1.75isreachedinthe case 2006).Merritt(2010) explainsthe observationsbythe evo- of a spherically symmetric single mass stellar distribution lution of a parsec-scale initial core model. in equilibrium. For a cluster with differing mass compo- Mouawadet al. (2005) presented the first efforts to de- sition, mass segregation sets in, where the more massive termine the amount of extended mass in the vicinity of stars sink towards the center, while the less massive ones the SMBH allowing for non-Keplerian orbits. Using posi- remain less concentrated. This leads to the shallow den- tional and radial velocity data of the star S2, and leav- sity distribution of 1.5 (Bahcall & Wolf 1977). Later nu- ing the position of Sgr A* as a free input parameter, they merical simulations and analytical models confirmed these provide, for the first time, a rigid upper limit on the pres- results (Freitag et al. 2006; Preto & Amaro-Seoane 2010; ence of a possible extended dark mass component around Hopman & Alexander 2006b). These steep density distri- Sgr A*. Considering only the fraction of the cusp mass butions were expected for the central cluster considering M that may be within the apo-center of the S2 orbit, S2apo its age, which is comparable to the estimates of the two- Mouawad et al. (2005) find M /(M +M ) S2apo SMBH S2apo ≤ body relaxation-time of 1–20 Gyr for the central parsec 0.05 as an upper limit. This number is consistent with (Alexander 2005; Merritt 2010; Kocsis & Tremaine 2011). more recent investigations of the problem (Gillessen et al. However,observationsofthe projectedstellarnumber den- 2009b). Due to mass segregation, a large extended mass sity, which can be related to the three dimensional density in the immediate vicinity of Sgr A*, if present, is unlikely distribution,revealedthatthecluster’sradialprofilecanbe to be dominated in mass of sub-solar mass constituents. It fittedbytwopower-lawslopes.Theslopeforthewholeclus- could well be explained by a cluster of high M/L stellar ter outside a radius of 6′′ (corresponding to 0.22 parsec) remnants, which may form a stable configuration. ∼ wasfoundtobeassteepas1.8 0.1,whileinsidethebreak From the observational point of view, several at- ± radius the slope was shallower than expected and reached tempts have been made recently to tackle the missing an exponent of 1.3 0.1 (Genzel et al. 2003; Scho¨del et al. cusp problem. Sazonov et al. (2011) proposed that the de- 2007).Thesefinding±smotivatedtheneedtoderivetheden- tected 1′′ sized thermal X-ray emission close to Sgr A* sityprofilesofthedistinctstellarpopulations,giventhatre- (Baganoff et al. 2001, 2003) can be explained by the tidal centstarformation(6Myr,Paumard et al.2006)attheGC spin-ups of severalthousand late-type main-sequence stars gavebirthto a largenumber ofhigh-massyoungstarsthat (MS). They use the Chandra X-ray data to infer an up- would be too young to reach an equilibrium state. Using per limit on the density of these low-mass main-sequence adaptive optics and intermediate-band spectrophotometry stars. Furthermore, using Hubble Space Telescope (HST) Buchholz et al. (2009) found the distribution of late-type data, Yusef-Zadeh et al. (2012) derived a stellar mass pro- stars (K giants and later) to be very flat and even showing file, fromthe diffuse lightprofile inthe region<1′′ around a decline towards the Center (for a radius of less that 6′′), Sgr A*, and by that they explained the diffuse light to be while the early-type stars (B2 main-sequence and earlier) dominated by a cusp of faint K0 dwarfs. 2 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster Up to now, the true distribution of the Nuclear Star 3. The central few tenths of parsecs Cluster, especially the S-stars, is yet to be determined. No investigations have confirmed or ruled out the existence of In NS10 we gave a stringent upper limit on the emission acuspofrelaxedstarsandstellarremnantsaroundSgrA*, from the central black hole in the presence of the sur- as predicted by theory. An excellent dataset to investigate rounding S-star cluster. For that purpose, three indepen- thestellarcontentofthecentralarcsecondaroundSgrA*is dent methods were used to remove or strongly suppress the NIR K -band (2.2 µm) data (see Figure 1) we used in s the flux density contributions of these stars, in the central (Sabha et al. 2010, hereafter NS10). In that case we sub- 2′′, in order to measure the flux density at the posi- tracted the stellar light contribution to the flux density ∼ tion of Sgr A*. All three methods providedcomparable re- measured at the position of Sgr A*. The aim of this work sults, and allowed a clear determination of the stellar light is then to analyze the resulting image of the diffuse NIR background at the center of the Milky Way, against which background emission close to the SMBH. This emission Sgr A* has to be detected. The three methods, linear ex- is believed to trace the accumulative light of unresolved traction of the extended flux density, automatic and itera- stars(Scho¨del et al.2007;Yusef-Zadeh et al.2012).Weex- tive point spread function (PSF) subtraction were carried plain the background light by extrapolating the K -band s out assuming that the extracted PSF in the central few luminosity function (KLF) of the innermost (1–2′′, corre- arcsecondsof the image is uniform. Investigationsof larger spondingto 0.05parsecsforadistance of8 kpcto the GC) images (e.g. Buchholz et al. 2009) show that on scales of a membersoftheS-starclustertofainterK -magnitudes.We s fewarcsecondstheconstantPSFassumptionisvalid,while comparethecumulativelightandmassofthesefainterstars for fields 10′′ the PSF variations have to be taken into to the limits imposed by observations.We then extend our ≥ account. analysis to explore the possible nature of this background light by testing its effect on the observed orbit of the star Figure 2 is a map of the 51 stars adopted from the list S2. Furthermore, we simulate the distribution of the unre- in Table 3 of NS10. The stars are plotted relative to the solved faint stars (Ks > 18) and their combined light to position of Sgr A*. The surface number density of these produceline-of-sightclusteringsthathaveacompact,close detected stars, within a radial distance of about 0.5′′ from to stellar, appearance. SgrA*,is68 8arcsec−2,withtheuncertaintycorrespond- ± The paper is structuredas follows:Section 2 deals with ing to the square-rootofthatvalue.This value agreeswith a brief description of the observation and data reduction. the central number density of 60 10 arcsec−2 given by ± WedescribeinSection3themethodused( 3.1– 3.3)and Do et al.(2009).ExtrapolatingtheKLFallowsustotestif § § discuss the different observational limits ( 3.4) employed the observed diffuse light across the central S-star cluster, § to test our analysis. Exploring the possible contributors to orthe amountofunaccounteddarkmass,canbe explained thedarkmasswithintheorbitofS2isdoneinSection4.In by stars. Section5wegivetheresultsobtainedbysimulatingthedis- tributionoffaintstarsandthe possibilityofproducingline of sight clusterings that look like compact stellar objects. We summarize and discuss the implications of our results inSection6.We adoptthroughoutthis paper Σ(R) R−Γ ∝ as the definition for the projected density distribution of the background light , with R being the projected radius and Γ the corresponding power-law index. 2. Observations and data reduction Theobservationsanddatareductionhavebeendescribedin NS10. In summary: The near-infrared (NIR) observations have been conducted at the Very Large Telescope (VLT) of the European Southern Observatory (ESO) on Paranal, Chile. The data were obtained with YEPUN, using the adaptive optics (AO) module NAOS and the NIR cam- era/spectrometer CONICA (briefly “NACO”). The data were taken in the K -band (2.2 µm) on the night of 23 s September 2004, and is one of the best available where Sgr A* is in a quiet state. The flux densities were mea- sured by aperture photometry with circular apertures of 66 mas radius. They were corrected for extinction, us- ing A = 2.46 derived for the inner arcsecond from Ks Scho¨del et al. (2010). Possible uncertainties in the extinc- tionofafewtenthsofamagnitudedonotinfluencethegen- Fig.2. Map of the 51 stars listed in Table 3 from NS10. The eralresultsobtainedinthispaper.Thefluxdensitycalibra- color of each star indicates its Ks-magnitude. The size of each tion was carried out using zero points for the correspond- symbolisproportionaltothefluxofthecorrespondingstar.The ingcamerasetupandacomparisonto knownK -bandflux position of Sgr A*is indicated as a cross at the center. s densities of IRS16C, IRS16NE (from Scho¨del et al. 2010; also Blum et al. 1996) and to a number of the S-stars (Witzel et al. 2012). 3 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster ofstarsperbin.Theirmethodisapplicabletosmallsamples ofstars.WeapplytheirmethodtoourKLFcalculationand getd(log(N)/δK )/d(K )=0.12 0.09,consistentwithour s s ± fixed sized binning method. 3.2. The diffuse NIR background ThemethodsweusedinNS10tocorrectforthefluxdensity contribution of the stars in the central 2′′ have revealed a faint extended emission around Sgr A* (NS10 Figures 3b, 4b and 5). We detected 1.3 mJy (obtained by correct- ∼ ing the 2 mJy we quote in NS10 for the A = 2.46 ∼ Ks we use here) at the center of the S-star cluster. With a ra- dius of 1′′ (about twice the FWHM of the S-star cluster) for the Point Spread Function (PSF) used for the subtrac- tion, we showedthat a misplacement of the PSF for about onlyfivestars,locatedwithinoneFWHMofSgrA*,would contribute significantly to the measured flux at the center. Foramedianbrightnessofabout1.3mJyforthesestars,a 1 pixel 13 mas positional shift of each of these stars to- ∼ wardsSgr A*wouldbe requiredto explainallthe detected 1.3 mJy at the center i.e. 0.26 mJy from each star. In Fig.3.KLFhistogramofthestarsdetectedinthecentralfield, ∼Sabha et al. (2011) we showed that a displacement larger derived from the 23 September 2004 data. The dashed line in- than a few tenths of a pixel would result in a clear and dicates the linear fit of the KLF slope of α = 0.18±0.07. The identifiable characteristic plus/minus pattern in the resid- vertical dotted line (red) represents the current detection limit ual flux distribution along the shift direction. For a maxi- for faint Ks-magnitudes. mum positional uncertainty of 1 pixel, we showed that the independent shifts of the five stars can be approximated by a single star experiencing five shifts in a random walk 3.1. KLF of the S-star cluster pattern.Thisresultedincalculatingatotalmaximumcon- Figure 3 shows the KLF histogram derived for the stars tribution of 0.26 mJy from all the five stars to the center, detected in the central field, (Figure 2). We improve the whichtranslatestoabout20–30%ofthefluxdensity.Thus, KLF derivation by choosing a fixed number of bins that morethantwothirdsofthe extendedemissiondetectedto- allows for about 10 sources per bin while providing a suf- wards Sgr A* could be due to faint stars, at or beyond the ficient number of points to allow for a clear linear fit. The completenesslimitreachedintheKLF,andassociatedwith Red Clump (RC)/Horizontal Branch (HB) stars, around the 0.5–1′′ diameter S-star cluster. ∼ K 14.5, are in one bin, so the RC/HB bump is visi- The diffuse background emission we detected (see s ≈ ble there (Scho¨del et al. 2007). For estimating the uncer- Figure1a)couldbecomparedtotheprojecteddistribution tainty, we randomized the start of the first bin in an in- of stars Σ(R) R−Γ, with R being the projected radius. ∝ terval between K = 13.0 to 14.2 and repeated the his- Wefoundthatthedistributionoftheazimuthallyaveraged s togram calculation 105 times. The number of sources in residual diffuse background emission, centered on the po- each bin was then determined by taking the average of all sition of Sgr A*, not to be uniform but in fact decreases iterations and the uncertainties were subsequently derived gently as a function of radius (see Figure 7 in NS10) with fromthestandarddeviation.Wederivealeast-squarelinear a power-law index Γ = 0.20 0.05. In this investiga- diffuse ± slopeofdlog(N)/d(K )=α=0.18 0.07,whichcompares tion we re-calculate the azimuthally averaged background s ± well with the KLF slope of 0.3 0.1 derived in NS10 and light from the iterative PSF subtracted image alone. The ± also with the KLF slope of 0.21 0.02 found for the inner azimuthallyaveragedbackgroundlightisplottedasafunc- field (R < 6′′) by Buchholz et a±l. (2009). For the magni- tionofprojectedradiusfromSgrA*inFigure4.Inthisnew tudes up to K = 17.50 within the central 0.69′′ radius, calculation we find the power-law index to have a value of s we detect no significant deviation from a straight power- Γ = 0.14 0.07. Both results are consistent with re- diffuse ± law. This implies that the completeness is high and can be cent investigations concerning the distribution of number compared to the 70% value derived for mag = 17 by density counts of the stellar populations in the centralarc- K ∼ Scho¨del et al. (2007) where the authors introduced artifi- seconds, derived from imaging VLT and Keck data. For cial stars into their NIR image and attempted re-detecting thecentralfewarcsecondsBuchholz et al.(2009),Do et al. them. However, for K = 17.50 to 18.25 the stellar counts (2009) and Bartko et al. (2010) find a Γ 1.5 0.2 for s ∼ ± drop quickly to about 20% of the value expected from the the young stars, but an even shallower distribution for the straight power-law line; hence the last K -bin is excluded late-type (old) stars with Γ 0.2 0.1. A detailed discus- s ∼ ± from the linear fit. sionconcerningthedifferentpopulationsandtheirdistribu- Ma´ız Apell´aniz & U´beda (2005) propose an alternative tion is given in Genzel et al. (2003); Scho¨del et al. (2007); wayofbinningwhendealingwithstellarluminosityandini- Buchholz et al. (2009); Do et al. (2009) and Bartko et al. tialmassfunctions(IMF).Theirmethodisbasedonchoos- (2010). ing variable sized bins with a constant number of stars in The small value we obtain for the projected diffuse each bin. They find that variable sized binning introduces light exponent Γ and the high degree of completeness diffuse bias-freeestimationsthatareindependentfromthenumber reached around K = 17.5, makes this data set well suited s 4 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster foranalyzingthe diffusebackgroundlight.Especiallyinin- between stars, the heavier objects sink towards the center vestigating the role of much fainter stars, beyond the com- while the lighter objects move out. Their volume density pleteness limit, in the observed power-law behavior of the willbesignificantlyreducedandtheymayevenbeexpelled background. from the very center. Freitag et al. (2006) show that the main-sequence stars begin to be expelled outward by the cusp of stellar-mass black holes (SBH) after a few Gyrs, just shorter than the presumed age of the stellar cluster at about 10 Gyrs. While the reservoir of lower mass stars may be replenished by the most recent - possibly still on- going - star formation episode about 6 million years ago (Paumard et al.2006),weassumethatstarswellbelowour low mass limit of 0.34 M⊙ with Ks-band brightnesses ∼ around K =25 are affected by depletion. s Figure 5 shows the KLF slope of α = 0.18 and the upperlimitimposedbytheuncertaintyinthefit(α=0.25) plotted as dashed and dash-dotted lines, respectively. The extrapolatedK -binsareshownashollowcircles.Weadopt s aMonteCarloapproachforcalculatingthenumberofstars N fromtheKLF,takingintoaccounttheuncertaintyinthe slope. After 105 trials we find as a result for each bin, the median number N and median deviation dN. Fig.4.Azimuthalaverageofthediffusebackgroundemissionas derivedfrommanualPSFsubtracted23September2004image. Thesquares(meanfluxand1σuncertaintyperpixel)havebeen calculated in annuli of 39.8 mas (3 pixels) width. The black dashed line marks a fit to the data points with an exponential decrease of 0.14. 3.3. Extrapolating the KLF of the S-star cluster Motivated by the power-law behavior of the diffuse back- ground emission and assuming that the drop in the KLF countsatmagnitude 18iscausedonlybythefactthatwe ∼ havereachedthedetectionlimit,weextrapolatetheKLFto fainter magnitudes in order to investigate how these faint stars contribute to the background light. The true shape of the luminosity function for K -magnitudes below the s Fig.5.ExtrapolationoftheKLFpower-lawfit.TheKLFslope completeness limit of 17.5 has yet to be determined. ∼ of α=0.18 and the upper limit imposed by the uncertainty in Investigations into the IMF of the S-cluster have shown the fit (α = 0.25) are plotted as dashed and dash-dotted lines, thatitcanbefittedwithastandardSalpeter/KroupaIMF respectively.Theblackfilledcirclesrepresentthedatawhilethe ofdN/dm m−2.3 andcontinuousstarformationhistories hollow circles represent new points based on the extrapolated ∝ with moderate ages (below 60 Myr, Bartko et al. 2010). KLF slope. The approximate location of the detection limit is Here, we estimate an upper limit on the stellar light by as- indicated bythe vertical dotted/red line. suming that the KLF exhibits the same behavior observed for brighter magnitudes without suffering a break in the slope toward the fainter end. UsingtheextrapolatedK -magnitudes,thecorrespond- s We use the KLF slope we obtained for the innermost ingfluxdensitiesarecalculatedusingthefollowingrelation central region, 0.18 0.07 (Figure 3) and extrapolate it ± over five magnitudes bins to K 25. The K -magnitude s ∼ s f =f 10−0.4 (Knew star−KS2) , (1) bins between 18–25 (translating to stellar masses in the new star S2 × range of 1.68 to 0.34 M⊙) correspond to the bright- ∼ ness of the expected main-sequence stars (luminosity class where f and K are the flux density and new star new star V) which are likely to be present in the central cluster. K -magnitude for each new star in the extrapolation. The s However, we assume that due to mass segregation effects fluxandmagnitudeforthestarS2wereadoptedfromNS10, in the Galactic nucleus (Bahcall & Wolf 1976; Alexander Table 3, and correctedfor the extinction value we use here 2005), driven by dynamical friction (Chandrasekhar 1943) (see 2). The new values are f = 14.73 mJy and K = S2 S2 § 5 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster 14.1. The accumulative flux density for each K -bin f is s bin obtained via f =f N . (2) bin new star new star × The number of stars per bin N is randomly picked new star from the interval between [N dN ] and new star new star [N +dN ]. In 105 trials the−accumulative flux new star new star per bin and its uncertainty are determined as the median and median deviation of the randomly drawn fluxes f . bin We then add up all the accumulative flux densities for all the newK -bandbinsandobtaintheintegratedbrightness s of the extrapolated part of the S-star cluster, 25 F = f =(25.72 14.31) mJy. (3) Extra Stars bin ± KXs≃18 We assume that the faint, undetectable stars follow the distribution of the azimuthally averagedbackground light, as shown in Figure 4. Thus, the light from the faint stars that we introduced in the 0.69′′ radius region can be com- pared to the measured background light from our data Fig.6. Relative azimuthally averaged light density, for the for the same region. This is achieved by using the total backgroundlighttakenfromtheobservationsandtheextrastel- flux density F to derive the peak light density larlightcalculatedfromtheextrapolation,plottedasafunction Extra Stars of distance from Sgr A*. They are represented by a dotted line (I ) that would be measured inside one resolution Extra Stars elementof0.033′′radiuscenteredonthepositionofSgrA*, withcircles(black)anddashedlineswithsquares(blue),respec- tively. The stellar light density is normalized to the peak light using the following relation: densityofthebackgroundatthecentralresolutionelement.The upperlimitoftheextrapolatedextrastellarlightisshownasthe F = f(r,φ)rdrdφ bluedashed line with nosymbols. Extra Stars Z ′′ 0.690 = 2πI r1−Γdr, (4) 3.4.1. Limits on the stellar light Extra Stars Z0.033′′ Followingthepreviouscalculationsandtheresultdisplayed with Γ = Γ = 0.14 (see 3.2). The peak light den- in Figure 6, we perform our analysis for a range of KLF diffuse § sity for the extra stars is then I = (15.24 slopes in orderto test if the observedbackgroundlightcan Extra Stars 8.48) mJy arcsec−2. To compare the light caused by th±e be solelyobtainedbythe emissionoffaintstars.The range extra stars with the measured background emission, we of KLF slopes we use is based on the values and uncer- plot the stellar light density caused by our new stars with tainty estimates of the following published KLF slopes for the azimuthally averaged measured light density of the thecentral2′′:0.13 0.02(Buchholz et al.2009,early-type ± background (Figure 6). For illustration purposes we nor- stars), 0.27 0.03 (Buchholz et al. 2009, late-type stars), ± malize the observed peak stellar light to the measured 0.21 0.02 (Buchholz et al. 2009, all stars) and 0.30 0.1 ± ± background value within the central resolution element, (NS10), in addition to the improved newly fitted slope of I = (254.30 58.45) mJy arcsec−2. It is clear the KLF in this work 0.18 0.07. Background ± ± that the peak light introduced by the new faint stars, as We extrapolate each KLF slope to a K -magnitude of s calculated from the extrapolation of the 0.18 0.07 KLF 25. The peak light density (I ) is calculated us- ± ≃ Extra Stars slope,is verysmallandbelow thatof the background.The ingEquation(4).Thepeaklightdensityoftheextrastarsis dotted line (black circles) represents the background light plottedfortheextrapolatedKLFslopesintherangeof0.11 while the dashedline (blue squares)correspondsto the ex- to 0.40 in Figure 7 . The limit imposed by the peak light tra stellar light. The upper limit of the extrapolated extra densityofthemeasuredbackgroundlight(Figure1)isplot- stellar light contribution is presentedas a dashed line with tedasahorizontaldashedline(blue).Inaddition,theKLF no symbols. The figure shows that the upper limit of the slopesderivedinthisworkandbyNS10andBuchholz et al. extrapolatedlightcontributionoftheS-starclusterislower (2009) are plotted as purple, yellow and green data points, than 15% of the measured backgroundlight. respectively. Figure 7 clearly shows that almost all of the KLF slopes result in a peak light density below the ob- served limit, except for very high slopes > 0.37 which are 3.4. Observational limits on the stellar light and mass not in agreement with the observations. Our analysis shows that if there was a population of very faint stars, following the extrapolated K -band luminosity s 3.4.2. Limits on the stellar mass functionandcentralclusterprofileobtainedforthebrighter stellarpopulation(lessthanK =18),theadditionalstellar Using the same range ofKLFslopes,we estimate the mass s light and mass lie well below the limits given by observa- that would be introduced to the central region as a result tional data. See following sections and Figures 7 and 8. of the KLF extrapolation. We obtain the stellar mass cor- 6 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster Fig.7. Estimated peak light density from stars derived from Fig.8. Estimated stellar mass from the added stars for dif- for different KLF slopes. Slopes of Buchholz et al. (2009) (for ferent KLF slopes. Slopes of Buchholz et al. (2009) (for dif- differentstellarpopulations)areshowningreen,NS10inyellow ferent stellar populations) are shown in green, NS10 in yellow and the KLF slope derived here, in § 3.1, in purple. A limit and our fitted slope in purple. A limit imposed by the enclosed imposed bythemeasured peaklightdensityfrom themeasured mass within the S2 orbit is plotted as horizontal dotted (gray) background light is plotted as a horizontal dashed line (blue). and dash-dotted (red) lines from Gillessen et al. (2009b) and Mouawad et al. (2005), respectively. respondingtotheextrapolatedK -binsbycalculatingtheir s luminosity via 4. Dynamical probes of the distributed mass LKs =10−0.4(MKs−M⊙Ks)L⊙Ks, (5) IfthegravitationalforcenearSgrA*includescontributions from bodies other than the SMBH, the orbits of test stars, where,L andM aretheluminosityofastaranditsab- includingS2,willdeviatefromKeplerianellipses.Thesede- Ks Ks solute magnitude in Ks-band, respectively. L⊙Ks & M⊙Ks viationscanbeusedtoconstraintheamountofdistributed are the K luminosity and absolute magnitude of the Sun. mass near Sgr A* (Mouawad et al. 2005; Gillessen et al. s Then, the mass for each K magnitude is calculated using 2009b). But they can also be used to constrain the “gran- s ularity” of the perturbing potential, since the nature and magnitudeofthe orbitaldeviationsdependbothonthe to- m=(L )(1/4) (6) Ks tal mass of the perturbing stars, and on their individual masses. from Duric (2004); Salaris & Cassisi (2005). For example, Investigationsofasinglescatteringeventwereexplored a Ks-magnitude around 20 corresponds to 1 M⊙ main- by Gualandris et al. (2010) using high-accuracy N-body sequence stars of F0V, G0V, K5V spectral types. simulationsandorbitalfitting techniques.Theyfoundthat In Figure 8 we show the estimated extra mass for all anIMBHmoremassivethan103 M⊙,withadistancecom- the KLF slopes in units of solar mass. The figure also parable to that of the S-stars, will cause perturbations of shows, dash-dotted/red line , the upper limit for an ex- the orbit of S2 that can be observed after the next peri- tended mass enclosed by the orbit of the star S2, cal- bothron1 passage of S2. Here we examine the effect many culated by Mouawad et al. (2005), where they use non- scatterers(i.e.smallermassesforthescatterersbutshorter Keplerian fitting of the orbit to derive the upper limits, impact parameters) will have on the trajectory of the star assuming that the composition of the dark mass is sources S2 asitorbits.AroundSgrA*,the starsandscatterersare with M/L 2.The dotted/grayline representsthe tighter ∼ movinginapotentialwellthatisdominatedbythemassof upper limit obtained later by Gillessen et al. (2009b) who the centralSMBH.In this casethe encountersareofa cor- derivethemassusingrecentorbitalparametersofS2.They related nature and hence cannot be considered as random assume that the extended mass consists of stellar black events. holes(Freitag et al.2006)withamassof10M⊙ usingesti- An important deviation from Keplerian motion occurs mations from Timmes et al. (1996) and Alexander (2007). as a result of relativistic corrections to the equations of It can be concluded from the figure that the introduced stellar mass,within a radius of 0.69′′, lies wellbelow the ∼ upperlimitsimposedbytheS2orbitwithasemi-majoraxis 1 Peri-orapobothronisthetermusedforperi-orapoapsisfor of 0.123′′(Gillessen et al.2009b).SeeFigure1(right)for an elliptical orbit with a black hole present at the appropriate ∼ a comparison of the sizes of the two regions. focus. 7 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster motion, which to lowest order predict an advance of the orbital plane. The latter can be described in a coordinate- argument of peribothron, ω, each orbital period of independent way via the angle ∆θ, where 6πGM• L1 L2 (∆ω) = . (7) cos(∆θ)= · (13) GR c2a(1 e2) L L 1 2 − Setting a = 5.0 mpc and e = 0.88 for the semi-major axis and L ,L arethe values ofL attwotimes separatedby 1 2 { } and eccentricity of S2, respectively, and assuming M• = ∆t.Ifweset∆tequalto the orbitalperiodofthe teststar, 4.0 106 M⊙, the changes in its orbital elements due to RR are expected × to be (∆ω) 10.8′. (8) GR ≈ ∆e K √N m , (14) RR e The relativistic precession is prograde, and leaves the ori- | | ≈ M• entation of the orbital plane unchanged. (∆θ) 2πK √N m , (15) The argument of peribothron also experiences an ad- RR ≈ t M• vanceeachperiodduetothespherically-symmetriccompo- where N is the number of stars having a-values similar to, nent of the distributed mass. The amplitude of this “mass orlessthan,thatoftheteststarand K ,K areconstants precession” is e t { } whichmaydependonthepropertiesofthefield-starorbits. M (r <a) BecausethechangesinS2’sorbitduetoRRscalediffer- (∆ω) = 2πG (e,γ) 1 e2 ⋆ . (9) M − M p − (cid:20) M• (cid:21) entlywithmandN thanthechangesduetothesmoothly- distributed mass, both the number and mass of the per- Here,M isthedistributedmasswithinaradiusr =a,and turbing objects within S2’s orbit can in principle be inde- ⋆ G is a dimensionless factor of order unity that depends pendently constrained. For instance, one could determine M on e and on the power-law index of the density, ρ r−γ M = mN from Equations (7) and (11) and a measured ⋆ ∝ (Merritt 2012). In the special case γ =2, ∆ω, then compute m√N by measuring changes in e or θ and comparing with Equations (14) or (15). −1 G = 1+ 1 e2 0.68 for S2 (10) Wetestedthefeasibilityofthisideausingnumericalin- M (cid:16) p − (cid:17) ≈ tegrations. The models and methods were similar to those so that described in Merritt et al. (2010). The N field stars were selectedfromadensityprofilen(r) r−2,withsemi-major M (r <a) ∝ (∆ω) 1.0′ ⋆ . (11) axesextendingtoamax =8mpc.Initialconditionsassumed M ≈− (cid:20) 103 M⊙ (cid:21) isotropyinthevelocitydistribution.Twovaluesforthefield star masses were considered: m=10 M⊙ and m=50 M⊙. Mass precession is retrograde,i.e., opposite in sense to the One of the N-body particles was assigned the observed relativistic precession. massandorbitalelements ofS2;this particle wasbegun at Since the contribution of relativity to the periboth- apobothron,andtheintegrationsextendedforonecomplete ron advance is determined uniquely by a and e, which periodofS2’sorbit.EachoftheN field-starorbitswerein- are known, a measured ∆ω can be used to constrain the tegrated as well, and the integrator included the mutual mass enclosed within S2’s orbit, by subtracting (∆ω) GR forcesbetweenstars,aswellaspost-Newtoniancorrections and comparing the result with Equation (11). So far, this to the equations of motion. The quantities ∆ω, ∆e etc. for techniquehasyieldedonlyupperlimitsonM⋆of∼10−2M• theS2particlewerecomputedbyapplyingstandardformu- (Gillessen et al. 2009b). lae to (r,v) at the start and end of each integration. 100 The granularity of the distributed mass makes itself random realizations of each initial model were integrated, felt via the phenomenon of “resonant relaxation” (RR) allowing both the mean values of the changes, and their (Rauch & Tremaine 1996; Hopman & Alexander 2006a). variance, to be computed. On the time scales of interest here, orbits near Sgr A* re- Figures 9 and 10a show changes in ω for S2. The me- main nearly fixed in their orientations, and the perturbing dian change is well predicted by Equation (11). However effectofeachfieldstaronthemotionofateststar(e.g.S2) there is a substantial variance. We identify at least two can be approximatedas a torque that is fixed in time, and sources for this variance. (1) The number of stars inside proportionaltom,the massofthe fieldstar.Theneteffect S2’s orbit differs from model to model by √N, resulting of the torques from N field stars is to change the angular ∼ in corresponding changes to the enclosed mass, and hence momentum, L, of S2’s orbit according to to the precessionrate asgivenby Equation(11). (2)When ∆L m ∆t N is finite,thesametorquesthatdriveresonantrelaxation | | K√N (12) also imply a change in the field star’s rate of peribothron Lc ≈ M• P advance as compared with Equation (11), which assumes where Lc = √GM•a is the angular momentum of a circu- notangentialforces.While the dispersionscalesroughlyas lar orbit having the same semi-major axis as that of the √N, as evident in Figure 9, the fractional change in ∆ω test star. (Equation 12 describes “coherent resonant relax- due to this effect scales as 1/√N (Merritt et al. 2010). ation”; on time scales much longer than orbital periods, Additional variance might a∼rise from close encounters be- “incoherent” resonant relaxation causes changes that in- tween field stars and S2, and from the fact that the mass crease as √∆t.) The normalizing factor K is difficult to withinS2’sorbitischangingoverthe courseofthe integra- ∼ compute from first principles but should be of order unity tion due to the orbital motion of each field star. (Eilon et al. 2009). Changes in L imply changes in both Whereasthe(average)valueof∆ω dependsonlyonthe the eccentricity, e, of S2’s orbit, as well as changes in its mass within S2’s orbit, the changes in e and θ depend also 8 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster Fig.9. Histograms of the predicted change in S2’s argument of peribothron, ω, overthe course one orbital period (∼16 yr). The shift due to relativity, (∆ω)GR ≈11′, has been subtracted fromthetotal;whatremainsisduetoNewtonianperturbations from thefield stars. Each histogram was constructedfrom inte- grations of 100 random realizations of the same initial model, withfield-starmassm=10M⊙,andfourdifferentvaluesofthe total number: N = 200 (solid/black); N = 100 (dotted/red); N = 50 (dashed/blue); and N = 25 (dot-dashed/green). The average value of the peribothron shift increases with increasing Fig.10. Average values of the changes in ω, e and θ for S2 Nm,aspredicted byEquation (11).Thereasons for thespread over one orbital period (∼ 16 yr) in the N-body integrations. in ∆ω valuesare discussed in thetext. Filled circles are from integrations with m = 50 M⊙ and open circles are for m = 10 M⊙ ; the number of field stars was N ={25,50,100,200} for both values of m.The abscissa is the on m, as shown in Figures 10b and c. The lines in those distributed mass within S2’s apobothron, at r ≈ 9.4 mpc. In figures are Equations (14) and (15), with each frame, the points are median values from the 100 N-body integrations,andtheerrorbarsextendfromthe20thtothe80th Ke =1.4, Kt =1.0. (16) percentile of the distribution. a) Changes in the argument of peribothron.Thecontributionfromrelativity,Equation(7),has (WehavedefinedN inEquations(14)and(15)asthenum- beensubtracted.Thesolid lineisEquation (11).b) Changesin beroffieldstarsinsidearadiusof9.4mpc,theapobothron the eccentricity.Solid and dashed lines are Equation (14), with of S2.) For a given value of the enclosed mass, M⋆ = Nm, m = 50 M⊙ and m = 10 M⊙ respectively and with Ke = 1.4. Figure10showsthatthechangesineandθ indeedscaleas c) The angle between initial and final values of L for S2. Solid 1/√N or as √m, as predicted by Equations (14) and and dashed lines are Equations (15) with Kt =1.0. ∼ ∼ (15). We can use these results to estimate the changes in (Hopman & Alexander 2006b) we find ω, e and θ expected for S2, based on theoretical models of the distribution of stars and stellar remnants at the ∆e 5.4 10−5, (20) GC. In dynamically evolved models (Freitag et al. 2006; | |RR ≈ × Hopman & Alexander 2006b), the total distributed mass (∆θ)RR 0′.8, (21) ≈ within S2’s apobothron, r 10 mpc, is predicted to be (∆ω) 2.5′. (22) a few times 103 M⊙. About≈half ofthis mass is in the form∼ M ≈ − ofmain-sequence starsandhalfin stellar-massblack holes, For obtaining the dispersion in the value of Equation (22), with a total number N 103. When there are two mass we scaled the dispersion given in Figure 10a for the sin- ≈ groups,expressionslike Equations (14) and(15) generalize gle population case, N = 50,m = 50 M⊙ of the same to total extended mass, to the two populations case we are investigating here. The dispersion obtained from the sim- ∆e = K m1√N1+m2√N2 (17) ulations is 4′. We scale it using the relation ∆ω/√N in | |RR e(cid:20) M• (cid:21) ordertoacc∼ountfortheSBHandMSpopulations,indepen- m √N +m √N dently. The dispersion for the new configuration then be- (∆θ)RR = 2πKt 1 1 2 2 (18) comes 1.43′, lower than the single population case. This (cid:20) M• (cid:21) is attrib∼uted to the fact that the number of main-sequence assuming starsismuchlargerthanthestellar-massblackholes,hence they lower the dispersion in the total Newtonian periboth- m1 =1 M⊙, m2 =10 M⊙, N1 =103, N2 =150 (19) ron shift (∆ω)M. 9 Sabha, Eckart, Merritt, Zamaninasab et al.: The S-starCluster Considering a higher value for the enclosed mass M = much lower density near Sgr A* and an uncertain fraction ⋆ 104 M⊙ whilekeepingthesamemassscalesandabundance of stellar-mass black holes (Merritt 2010; Antonini et al. ratios of the scattering objects, 2012). The number of perturbers is so small in these mod- els that their effect on the orbital elements of S2 would m1 =1 M⊙, m2 =10 M⊙, N1 =4000,N2=600 (23) be undetectable for the foreseeable future, barring a lucky close encounter with S2. one gets changes of Inadditiontothesmallamplitudeoftheperturbations, ∆e 1.1 10−4, (24) thepotentialdifficultyinconstrainingN andmcomesfrom RR (|∆θ)| ≈ 1.7′×, (25) the nonzero variance of the predicted changes (Figure 10). RR ≈ Thevariancein∆ωscalesas ∆ω/√N andwouldbesmall (∆ω)M ≈ −10′. (26) in the dynamically-relaxed m∼odels with N 103. Another ≈ source of uncertainty comes from the dependence of the The dispersion in Equation (26) can be compared, as amplitudeof∆ω onγ (Equation9),whichisunknown.We we did before, to the case considered in the simulations (N = 200,m = 50 M⊙) by scaling the 8′ dispersion do not have a good model for predicting the variances in (Figure 10a) to become 2.86′ for the tw∼o mass popula- ∆e and ∆θ, but Figure 10 suggests that the fractional | | ∼ variance in these quantities is not a strong function of N tion. or m, and that it is large enough to essentially obscure Repeating the same analysis as before to the M = ⋆ 105 M⊙ gives the following numbers for the stellar black changes due to a factor ∼ 5 change in m at fixed M⋆. On the other hand, considerably more information might be holes and low-mass stars available than just ∆e and ∆θ for one star; for instance, m1 =1 M⊙, m2 =10 M⊙,N1 =40000,N2=6000 (27) thefulltime-dependenceof(r,v)foranumberofstars.We leave a detailed investigation of how well such information that result in could constrain the perturber m and N to a future work. ∆e 3.4 10−4, (28) RR | | ≈ × (∆θ) 5.2′, (29) 4.1. Fighting the limits on the power of stellar orbits RR ≈ (∆ω)M 100′. (30) Theresultsfromtheprevioussub-sectionsclearlyshowthat ≈ − derivingthenet-displacementforanidealellipticalorbitfor Similar to the above cases,the dispersion in Equation (30) asinglestarwillnotbesufficienttoputfirmlimitsonboth can be compared to the single mass case by scaling the the total amount of extended mass and on the nature of 25.3′ dispersion to become 9.1′ for the two mass the corresponding population. However, the situation may ∼population. The 25.3′ value is∼obtained by scaling with be improved if one studies the statistics of the time and ∼ ∆ω/√N fromthevalueshowninFigure10aforthe104M⊙ position dependent deviations along a single star’s orbit or extended mass. instead uses the orbits of several stars. Wewouldliketostressthatmakingadefiniteprediction abouttheN-dependenceofthevarianceisbeyondthescope of the current paper. However,we have noted that in both 4.1.1. Improving the single orbit case cases consideredin Figure 10 the relativevariance is of the The actualuncertaintyin projectedrightascensionor dec- order of unity or larger i.e. the dispersionis of the orderof lination, σ2 , can be thought of as a combination of the Newtonian peribothron shift. position several contributions. Here σ2 is the apparent posi- The positional uncertainty is currently of the order of apparent tional variation due to the photo-center variations of the 1mas.Forthe highlyeccentricorbitofS2this impliesthat star while it is moving across the sea of fore- and back- the accuracy with which the peribothron shift can be de- tected is of the order of 24′. As can be seen for the case of groundsources.Thescatteringprocessresultsinavariation M⋆ = 105 M⊙ , the shifts are at the limit of the current ofpositionsdescribedby σs2cattering.Finally,systematicun- certainties due to establishingand applying anastrometric instrumentalcapabilities if the totalenclosedmasswas en- reference frame give a contribution of σ2 . tirely composed of massive perturbers. The shifts given in systematic Equations (22) and (26) can be measured if the accuracy The value of σ2 can be measured in comparison position isimprovedbyatleastoneorderofmagnitudeusinglarger to the orbital fit. The value of σ2 can be obtained apparent telescopesorinterferometricmethodsintheNIR.However, experimentally by placing an artificial star into the imag- consideringthe variancesinthecalculatedshiftsonewould ing frames atpositions alongthe idealized orbit.A reliable needtoobservemorethanonestellarorbitinordertoinfer estimate of σ2 is achieved by comparing the known apparent informationonthepopulationgivingrisetotheNewtonian positions at which the star has been placed and the posi- peribothron shift. By comparison, the current uncertainty tions measured in the image frames. As for the case of the in S2’s eccentricity is 0.003, and uncertainties in the systematic variations,they canbe estimatedby investigat- ∼ Delaunay angles i and Ω describing its orbital plane are ing sources that are significantly brighter or slower than 50′ (Gillessen et al. 2009b). In both cases, an improve- the S-stars. Finally, the value that describes the scattering ∼ ment of a factor 50 would be required in order to detect process, and therefore gives information on the masses of ∼ the changes given in e and θ. the scattering sources, can be obtained via Dynamically-relaxedmodels of the GC have been criti- cizedonthegroundsthattheypredictasteeply-risingden- σ2 =σ2 σ2 σ2 . (31) scattering position− apparent− systematic sity of old stars inside 1 pc, while the observations show a parsec-scale core (B∼uchholz et al. 2009; Do et al. 2009; Alternatively, σ2 could be measured directly by scattering Bartko et al.2010).Dynamicallyunrelaxedmodelsimplya near-infraredinterferometrywithlongbaselines.Measuring 10